On a sorting rule to improve computational efficiency of connection admission control algorithms for ATM networks

2002 ◽  
Author(s):  
G. Bianchi
Keyword(s):  
Admission Control ◽  
Computational Efficiency ◽  
Control Algorithms ◽  
Connection Admission Control ◽  
Atm Networks ◽  
Connection Admission

Asymptotically achievable performance in ATM networks

1998 ◽  
Vol 30 (2) ◽  
pp. 568-585 ◽  
Author(s):  
Sem Borst ◽  
Debasis Mitra
Keyword(s):  
High Capacity ◽  
Primary Objective ◽  
Control Algorithms ◽  
Connection Admission Control ◽  
Atm Networks ◽  
Asymptotic Results ◽  
Admissible Region ◽  
Fundamental Understanding ◽  
Connection Admission ◽  
System Characteristics

The primary objective in the present paper is to gain fundamental understanding of the performance achievable in ATM networks as a function of the various system characteristics. We derive limit theorems that characterize the achievable performance in terms of the offered traffic, the admissible region, and the revenue measure. The insights obtained allow for substantial simplifications in the design of real-time connection admission control algorithms. In particular, we describe how the boundaries of admissible regions with convex complements may be linearized - thus reducing the admissible region - so as to obtain a convenient loss network representation. The asymptotic results for the achievable performance suggest that the potential reduction in revenue is immaterial in high-capacity networks. Numerical experiments confirm that the actual reduction is typically negligible, even in networks of moderate capacity.

scholarly journals Sustaining Negotiated QoS in Connection Admission Control for ATM Networks Using Fuzzy Logic Techniques

10.28945/3275 ◽  
2008 ◽  
Author(s):  
Olufade F. Williams Onifade ◽  
G. Adesola Aderounmu ◽  
Oluwasikemi Tayo
Keyword(s):  
Fuzzy Logic ◽  
Admission Control ◽  
Bandwidth Allocation ◽  
Connection Admission Control ◽  
Atm Networks ◽  
Output Stage ◽  
Centroid Method ◽  
Average Cell ◽  
Connection Admission ◽  
Fuzzy Logic Technique

The objective of connection admission control (CAC) is to keep the network load moderate to achieve a performance objective associated with Quality of Service (QoS). Cell Loss Ratio (CLR), a key QoS parameter in ATM networks, is essential for proper network resources dimensioning, congestion control, bandwidth allocation and routing. In this research, we employed fuzzy logic technique in Statistical Connection Admission Control (S-CAC) - a CAC employing multiplexing of the bandwidth between the peak cell rate and the sustained (average) cell rate. The fuzzy technique consists of an input stage, a processing stage, and an output stage. We defined the rules with “max-min” inference method in which the output membership function is given the truth value generated by the premise. The results was defuzzi-fied to a crisp value using the “centroid” method which favors the rule with the output of the greatest area, and the result thereafter charted to compare it operation.

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